Proliferative State Research Articles

High-parametric protein maps reveal the spatial organization in early-developing human lung

The respiratory system, including the lungs, is essential for terrestrial life. While recent research has advanced our understanding of lung development, much still relies on animal models and transcriptome analyses. In this study conducted within the Human Developmental Cell Atlas (HDCA) initiative, we describe the protein-level spatiotemporal organization of the lung during the first trimester of human gestation. Using high-parametric tissue imaging with a 30-plex antibody panel, we analyzed human lung samples from 6 to 13 post-conception weeks, generating data from over 2 million cells across five developmental timepoints. We present a resource detailing spatially resolved cell type composition of the developing human lung, including proliferative states, immune cell patterns, spatial arrangement traits, and their temporal evolution. This represents an extensive single-cell resolved protein-level examination of the developing human lung and provides a valuable resource for further research into the developmental roots of human respiratory health and disease.

The value of multiple diffusion metrics based on whole-lesion histogram analysis in evaluating the subtypes and proliferation status of non-small cell lung cancer

ObjectiveLimited studies have explored the utility of whole-lesion histogram analysis in discerning the subtypes and proliferation status of non-small cell lung cancer (NSCLC), despite its potential to provide comprehensive tissue assessment through the computation of additional quantitative metrics. This study sought to assess the significance of intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) histogram parameters in discriminating between squamous cell carcinoma (SCC) and adenocarcinoma (AC), and to examine the correlation of each parameter with the proliferative marker Ki-67.Materials and methodsPatients with space-occupying lesions detected by chest CT examination and with further routine MRI, DKI and IVIM functional sequence scans were enrolled. Based on the pathological results, seventy patients with NSCLC were selected and divided into AC and SCC groups. Histogram parameters of IVIM (D, D*, f) and DKI (Dapp, Kapp) were calculated, and the Mann–Whitney U test or independent samples t test was used to analyze the differences in each histogram parameter of the SCC and AC groups. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the histogram parameters. The correlation coefficient between histogram parameters and Ki-67 was calculated using Spearman’s or Pearson’s methods.ResultsThe D 10th percentile, D 90th percentile, D mean, D median, Dapp10th percentile, Dapp90th percentile, Dappmean, Dappmedian, Dappskewness, DappSD of the AC groups were significantly higher than those of the SCC groups, while the Kappentropy and KappSD of the SCC groups were significantly higher than those of the AC groups. All the above differences were statistically significant (all P < 0.05). ROC curve analysis revealed that Dappmean showed the best performance for differentiating AC from SCC lesions, with an area under the ROC curve of 0.832 (95% confidence interval [CI]: 0.707-0.919). But there was no statistically significant difference in diagnostic efficacy compared to other histogram parameters (all P>0.05). Dapp90thpercentile, Dappmean, Kappskewnes showed a slight negative correlation with Ki-67 expression (r value -0.340, -0.287, -0.344, respectively; P< 0.05), while the other histogram parameters showed no significant correlation with Ki-67 (all P > 0.05).ConclusionsOur study demonstrates the utility of IVIM and DKI histogram analyses in differentiating NSCLC subtypes, particularly AC and SCC. Correlations with the Ki-67 index suggest that Dappmean, Dapp90th percentile, and Kappskewness may serve as markers of tumor aggressiveness, supporting their use in NSCLC diagnosis and treatment planning.

Non-genetic differences underlie variability in proliferation among esophageal epithelial clones.

Individual cells grown in culture exhibit remarkable differences in their growth, with some cells capable of forming large clusters, while others are limited or fail to grow at all. While these differences have been observed across cell lines and human samples, the growth dynamics and associated cell states remain poorly understood. In this study, we performed clonal tracing through imaging and cellular barcoding of an in vitro model of esophageal epithelial cells (EPC2-hTERT). We found that about 10% of clones grow exponentially, while the remaining have cells that become non-proliferative leading to a halt in the growth rate. Using mathematical models, we demonstrate two distinct growth behaviors: exponential and logistic. Further, we discovered that the propensity to grow exponentially is largely heritable through four doublings and that the less proliferative clones can become highly proliferative through increasing plating density. Combining barcoding with single-cell RNA-sequencing (scRNA-seq), we identified the cellular states associated with the highly proliferative clones, which include genes in the WNT and PI3K pathways. Finally, we identified an enrichment of cells resembling the highly proliferative cell state in the proliferating healthy human esophageal epithelium.

Accelerated Wound Healing of Tetrahedral-Framework Nucleic Acid Nanozymes with High Penetration and Antioxidant Capacity

The wound repair process usually leads to a non-functioning mass of fibrotic tissue because of the oxidative imbalance of deep tissue layers. However, how to improve the penetration of active ingredients into deeper layers and regulate oxidative imbalances to create a regenerative microenvironment still remains a challenge. In this study, we designed a novel tetrahedral-framework nucleic acid (tFNA) nanozyme that could penetrate the skin/mucosa barrier as deep as 450 μm within 24 h. We also demonstrated the protective role of tFNAs on the mitochondrial structural and functional integrity and inhibition of reactive oxygen species production to repair oxidative imbalances through ERK1/2-Nrf2-HO-1 during repair processes. It was found that the proliferative state and the migration ability of postburn cells in vitro were accelerated, and the early closure of wounds in vivo was significantly promoted. This study therefore provides a promising strategy to efficiently regulate the oxidative imbalances in the deep layers of the skin during wound healing.

Sinonasal adenoid cystic carcinoma: preoperative apparent diffusion coefficient histogram analysis in prediction of prognosis and Ki-67 proliferation status.

To investigate the value of preoperative apparent diffusion coefficient (ADC) histogram analysis in predicting the prognosis of patients with sinonasal adenoid cystic carcinoma (ACC) and the correlation between ADC histogram parameters and Ki-67 labeling index (LI). The study enrolled 66 patients with sinonasal ACC who were surgically resected and confirmed by histopathology. The disease-free survival (DFS) was evaluated with clinical-pathologic and radiologic characteristics using the Cox proportion hazard model. Spearman correlation analysis was used to evaluate the correlation between ADC histogram parameters and Ki-67 LI. The predictive performance of ADC histogram parameters for Ki-67 LI was assessed using the receiver operating characteristic (ROC) curve. Multivariable analysis showed Ki-67 LI (hazard ratio: 9.279; 95% confidence interval 1.099-78.338; P = 0.041) and ADCskewness (hazard ratio: 5.942; 95% confidence interval 1.832-19.268; P = 0.003) were significant independent predictors of DFS. The combination of these two variables achieved the predictive ability with a C-index of 0.717 (95% confidence interval 0.607-0.826). ADCmean and all ADC percentiles (10th, 50th, and 90th) significantly and inversely correlated with Ki-67 LI of ACC (Correlation coefficients = -0.574 to -0.591, Ps < 0.001). Among the ADC histogram parameters, the ADC50th showed superior performance for the differentiation of the high from low Ki-67 LI groups with an area under the curve (AUC) of 0.834 and an accuracy of 80.30%. ADC histogram analysis had predictive value for DFS and Ki-67 LI, which may be a valuable biomarker for prognosis and proliferation status for ACC in clinical practice.

8308 Up-regulation of Diacylglycerol kinase gamma (DGKG) in aggressive recurrent pituitary tumors could be targeted by Dasatinib reducing cell proliferation and induced apoptosis

Abstract Disclosure: K. Taniguchi-Ponciano: None. I. Remba: None. M. Loza-Mejia: None. J. Salazar: None. A. Mendez-Perez: None. C. Aguilar-Flores: None. A. Chavez-Gonzalez: None. E. Ortiz-Reyes: None. L. Bonifaz: None. D. Marrero-Rodríguez: None. M. Mercado: None. Pituitary tumors (PT) represent 15% of all intracranial tumors. Some PTs exhibit an aggressive behavior, growing rapidly and invading surrounding tissues, and are frequently resistant to multimodal treatment showing multiple recurrences. Pituitary tumors often recur after initial surgery, particularly when invasive, precluding complete resection of the lesion, which can only be achieved in ∼40-50% of all patients.We have previously characterized transcriptome and exome from 22 tumor lesions from 11 patients by RNA- and DNAseq and methylome profile by microarrays of aggressive, both primary and recurrent PT from the same patient to identify molecular pharmacological targets.Among the differentially expressed genes in most recurrent tumors we found those related to fatty acid biosynthesis and metabolism, phosphatidylinositol, glycerophospholipid and phospholipase D signaling. Importantly, one gene found in most of the lipid-related pathways was diacylglycerol kinase gamma (DGKG). DGKG gene expression was confirmed by immunofluorescence and did not seem to be regulated by DNA methylation. And DGKG showed allelic c.G947A:p.R316K variant in all primary and recurrent tumor tissues analyzed, more research is needed to understand genetic variant impact on protein function. We then performed DGKG molecular docking for FDA-approved drug repurposing. Human DGKG tridimensional model was downloaded from AlphaFold and Autodock Vina, Molegro Virtual Docker, PyMol v2.5.2 program and the Protein-Ligand Interaction Profiler web tool were used. The in silico ADMET profiles were generated in ADMETLab 2.0 using only FDA approved drugs. We identified Dasatinib as a strong candidate for DGKG targeting. We then exposed GH3 cell line to increasing concentrations of Dasatinib (1, 2.5 y 5 μM) using DMSO as vehicle. After cell viability was assessed, approximatively 31% of all live GH3 cells were at proliferative state without any treatment, that was taken as our basal quantity to compare the GH3 cells treated with the TKI’s. Dasatinib reduced approximatively 28% the cell proliferation at 1 μM (p=0.0048), at 2.5 μM reduced nearly 50% of cell proliferation (p=0.003) and at 5 μM inhibited nearly 98% of cell proliferation (p=0.0395) by means of Click-iT EdU Cell proliferation Kit. We then, evaluated Dasatinib apoptosis induction capacity. Interestingly, the 1 μM Dasatinib concentration induced apoptosis (p=0.0001) as concentrations increased, cell death also increased considerably (p=0.0001) measured by Anexin V-FITC and DAPI assay. The RNAseq data from GH3 cells exposed to Dasatinib show diminished gene expression of cell cycle related genes and glycolysis.In conclusion, we observed DGKG upregulated in recurrent aggressive pituitary tumors participating in lipid metabolism pathways and could be targeted by Dasatinib at very low doses. Presentation: 6/3/2024

3D-printing hydrogel programmed released exosomes to restore aortic medial degeneration through inhibiting VSMC ferroptosis in aortic dissection

Aortic dissection (AD) is a devastating disease with a high mortality rate. Exosomes derived from mesenchymal stem cells (exo-MSCs) offer a promising strategy to restore aortic medial degeneration and combat ferroptosis in AD. However, their rapid degradation in the circulatory system and low treatment efficiency limit their clinical application. Methylacrylated gelatin (Gelma) was reported as a matrix material to achieve controlled release of exosomes. Herein, exo-MSCs-embedded in Gelma hydrogels (Gelma-exos) using ultraviolet light and three-dimensional (3D) printing technology. These Gelma-exos provide a sustained release of exo-MSCs as Gelma gradually degrades, helping to restore aortic medial degeneration and prevent ferroptosis. The sustained release of exosomes can inhibit the phenotypic switch of vascular smooth muscle cells (VSMCs) to a proliferative state, and curb their proliferation and migration. Additionally, the 3D-printed Gelma-exos demonstrated the ability to inhibit ferroptosis in vitro, in vivo and ex vivo experiments. In conclusion, our Gelma-exos, combined with 3D-printed technology, offer an alternative treatment approach for repairing aortic medial degeneration and ferroptosis in AD, potentially reducing the incidence of aortic dissection rupture.Graphical

Integrating IL-12 mRNA nanotechnology with SBRT eliminates T cell exhaustion in preclinical models of pancreatic cancer

Pronounced T cell exhaustion characterizes immunosuppressive tumors, with the tumor microenvironment (TME) employing multiple mechanisms to elicit this suppression. Traditional immunotherapies, such as immune checkpoint blockade, often fail due to their focus primarily on T cells. To overcome this, we utilized a proinflammatory cytokine, IL-12, that re-wires the immunosuppressive TME by inducing T cell effector function while also repolarizing immunosuppressive myeloid cells. Due to toxicities observed with systemic administration of this cytokine, we utilized lipid nanoparticles encapsulating mRNA encoding IL-12 for intratumoral injection. This strategy has been proven safe and tolerable in early clinical trials for solid malignancies. We report an unprecedented loss of exhausted T cells and the emergence of an activated phenotype in murine pancreatic ductal adenocarcinoma (PDAC) treated with stereotactic body radiation therapy (SBRT) and IL-12mRNA. Our mechanistic findings reveal that each treatment modality contributes to the T cell response differently, with SBRT expanding the TCR repertoire and IL-12mRNA promoting robust T cell proliferation and effector status. This distinctive T cell signature mediated marked growth reductions and long-term survival in local and metastatic PDAC models. This is the first study of its kind combining SBRT with IL-12mRNA and provides a promising new approach for treating this aggressive malignancy.

A review on the functional characteristics of the c-Myeloproliferative Leukaemia (c-MPL) gene and its isoforms.

The c-MPL-TPO axis regulates hematopoiesis by activating various signalling cascades, including JAK/STAT, MAPK/ERK, and PIK3/AKT. Here, we have summarized how TPO is regulated by c-MPL and, how mutations in the c-MPL regulate hematopoiesis. We also focus on its non-hematological regulatory role in diseases like Unstable Angina and pathways like DNA damage repair, skeletal homeostasis, & apoptotic regulation of neurons/HSCs at the embryonic state. We discuss the therapeutic efficiency of c-MPL and, its potential to be developed as a bio-marker for detecting metastasis and development of chemo-resistance in various cancers, justifying the multifaceted nature of c-MPL. We have also highlighted the importance of c-MPL isoforms and their stoichiometry in controlling the HSC quiescent and proliferative state. The regulation of the ratio of different isoforms through gene-therapy can open future therapeutic avenues. A systematic understanding of c-MPL-isoforms would undoubtedly take one step closer to facilitating c-MPL from basic-research towards translational medicine.

PH-sensing GPR68 inhibits vascular smooth muscle cell proliferation through Rap1A.

Phenotypic transformation of vascular smooth muscle (VSM) from a contractile state to a synthetic, proliferative state is a hallmark of cardiovascular disease (CVD). In CVD, diseased tissue often becomes acidic from altered cellular metabolism secondary to compromised blood flow, yet the contribution of local acid/base imbalance to the disease process has been historically overlooked. In this study, we examined the regulatory impact of the pH-sensing G protein-coupled receptor GPR68 on vascular smooth muscle (VSM) proliferation in vivo and in vitro in wild-type (WT) and GPR68 knockout (KO) male and female mice. Arterial injury reduced GPR68 expression in WT vessels and exaggerated medial wall remodeling in GPR68 KO vessels. In vitro, KO VSM cells showed increased cell cycle progression and proliferation compared to WT VSM cells, and GPR68-inducing acidic exposure reduced proliferation in WT cells. mRNA and protein expression analyses revealed increased Rap1A in KO cells compared to WT cells, and RNA silencing of Rap1A reduced KO VSM cell proliferation. In sum, these findings support a growth-inhibitory capacity of pH-sensing GPR68 and suggest a mechanistic role for the small GTPase Rap1A in GPR68-mediated VSM growth control. These results shed light on GPR68 and its effector Rap1A as potential targets to combat pathologic phenotypic switching and proliferation in VSM.

Immune Cell Densities Predict Response to Immune Checkpoint-Blockade in Head and Neck Cancer.

Pre-ICB tumor tissue sections were obtained from 9 responders (complete response, partial response, or stable disease) and 11 non-responders (progressive disease) classified via RECISTv1.1. A custom multi-immunofluorescence (mIF) staining assay was designed, optimized, and applied to characterize tumor cells (pan-cytokeratin), T cells (CD4, CD8), B cells (CD19, CD20), myeloid cells (CD16, CD56, CD163), dendritic cells (LAMP3), fibroblasts (alpha-Smooth Muscle Actin), proliferative status (Ki67) and immunoregulatory molecules (PD1). Spatial metrics were compared among groups. Serial tissue sections were scored for TLS in both H&E and mIF slides. A machine learning model was employed to measure the effect of these metrics on achieving a response to ICB (SD, PR, or CR). A higher density of B lymphocytes (CD20+) was found in responders compared to non-responders to ICB (p=0.022). A positive correlation was observed between mIF and pathologist identification of TLS (R2= 0.66, p-value= <0.0001). TLS trended toward being more prevalent in responders to ICB (p=0.0906). The presence of TLS within 100 um of the tumor was associated with improved overall (p=0.04) and progression-free survival (p=0.03). A multivariate machine learning model identified TLS density as a leading predictor of response to ICB with 80% accuracy. Immune cell densities and TLS spatial location within the tumor microenvironment play a critical role in the immune response to HNSCC and may potentially outperform CPS as a predictor of ICB response.

A two-step strategy to expand primary human hepatocytes in vitro with efficient metabolic and regenerative capacities

BackgroundPrimary human hepatocytes (PHHs) are highly valuable for drug-metabolism evaluation, liver disease modeling and hepatocyte transplantation. However, their availability is significantly restricted due to limited donor sources, alongside their constrained proliferation capabilities and reduced functionality when cultured in vitro. To address this challenge, we aimed to develop a novel method to efficiently expand PHHs in vitro without a loss of function.MethodsBy mimicking the in vivo liver regeneration route, we developed a two-step strategy involving the de-differentiation/expansion and subsequent maturation of PHHs to generate abundant functional hepatocytes in vitro. Initially, we applied SiPer, a prediction algorithm, to identify candidate small molecules capable of activating liver regenerative transcription factors, thereby formulating a novel hepatic expansion medium to de-differentiate PHHs into proliferative human hepatic progenitor-like cells (ProHPLCs). These ProHPLCs were then re-differentiated into functionally mature hepatocytes using a new hepatocyte maturation condition. Additionally, we investigated the underlying mechanism of PHHs expansion under our new conditions.ResultsThe novel hepatic expansion medium containing hydrocortisone facilitated the de-differentiation of PHHs into ProHPLCs, which exhibited key hepatic progenitor characteristics and demonstrated a marked increase in proliferation capacity compared to cells cultivated in previously established expansion conditions. Remarkably, these subsequent matured hepatocytes rivaled PHHs in terms of transcriptome profiles, drug metabolizing activities and in vivo engraftment capabilities. Importantly, our findings suggest that the enhanced expansion of PHHs by hydrocortisone may be mediated through the PPARα signaling pathway and regenerative transcription factors.ConclusionsThis study presents a two-step strategy that initially induces PHHs into a proliferative state (ProHPLCs) to ensure sufficient cell quantity, followed by the maturation of ProHPLCs into fully functional hepatocytes to guarantee optimal cell quality. This approach offers a promising means of producing large numbers of seeding cells for hepatocyte-based applications.

A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence

In several carcinomas, including hepatocellular carcinoma, it has been demonstrated that cancer stem cells (CSCs) have enhanced invasiveness and therapy resistance compared to differentiated cancer cells. Mathematical-computational tools could be valuable for integrating experimental results and understanding the phenotypic plasticity mechanisms for CSCs emergence. Based on the literature review, we constructed a Boolean model that recovers eight stable states (attractors) corresponding to the gene expression profile of hepatocytes and mesenchymal cells in senescent, quiescent, proliferative, and stem-like states. The epigenetic landscape associated with the regulatory network was analyzed. We observed that the loss of p53, p16, RB, or the constitutive activation of β-catenin and YAP1 increases the robustness of the proliferative stem-like phenotypes. Additionally, we found that p53 inactivation facilitates the transition of proliferative hepatocytes into stem-like mesenchymal phenotype. Thus, phenotypic plasticity may be altered, and stem-like phenotypes related to CSCs may be easier to attain following the mutation acquisition.

Fance deficiency impaired DNA damage repair of prospermatogonia and altered the repair dynamics of spermatocytes

BackgroundNon-obstructive azoospermia (NOA) is the most severe form of male infertility and affects approximately 1% of men worldwide. Fanconi anemia (FA) genes were known for their essential role in DNA repair and growing evidence showed the crucial role of FA pathway in NOA. However, the underlying mechanisms for Fance deficiency lead to a serious deficit and delayed maturation of male germ cells remain unclear.MethodsWe used Fance deficiency mouse model for experiments, and collected testes or epididymides from mice at 8 weeks (8W), 17.5 days post coitum (dpc), and postnatal 11 (P11) to P23. The mice referred to three genotypes: wildtype (Fance+/+), heterozygous (Fance+/-), and homozygous (Fance−/−). Hematoxylin and eosin staining, immunofluorescence staining, and surface spread of spermatocytes were performed to explore the mechanisms for NOA of Fance−/− mice. Each experiment was conducted with a minimum of three biological replicates and Kruskal-Wallis with Dunn’s correction was used for statistical analysis.ResultsIn the present study, we found that the adult male Fance−/− mice exhibited massive germ cell loss in seminiferous tubules and dramatically decreased sperms in epididymides. During the embryonic period, the number of Fance−/− prospermatogonia decreased significantly, without impacts on the proliferation (Ki-67, PCNA) and apoptosis (cleaved PARP, cleaved Caspase 3) status. The DNA double-strand breaks (γH2AX) increased at the cellular level of Fance−/− prospermatogonia, potentially associated with the increased nonhomologous end joining (53BP1) and decreased homologous recombination (RAD51) activity. Besides, Fance deficiency impeded the progression of meiotic prophase I of spermatocytes. The mechanisms entailed the reduced recruitment of the DNA end resection protein RPA2 at leptotene and recombinases RAD51 and DMC1 at zygotene. It also involved impaired removal of RPA2 at zygotene and FANCD2 foci at pachytene. And the accelerated initial formation of crossover at early pachytene, which is indicated by MLH1.ConclusionsFance deficiency caused massive male germ cell loss involved in the imbalance of DNA damage repair in prospermatogonia and altered dynamics of proteins in homologous recombination, DNA end resection, and crossover, providing new insights into the etiology and molecular basis of NOA.

Dissecting the impact of differentiation stage, replicative history, and cell type composition on epigenetic clocks

Epigenetic clocks, built on DNA methylation patterns of bulk tissues, are powerful age predictors, but their biological basis remains incompletely understood. Here, we conducted a comparative analysis of epigenetic age in murine muscle, epithelial, and blood cell types across lifespan. Strikingly, our results show that cellular subpopulations within these tissues, including adult stem and progenitor cells as well as their differentiated progeny, exhibit different epigenetic ages. Accordingly, we experimentally demonstrate that clocks can be skewed by age-associated changes in tissue composition. Mechanistically, we provide evidence that the observed variation in epigenetic age among adult stem cells correlates with their proliferative state, and, fittingly, forced proliferation of stem cells leads to increases in epigenetic age. Collectively, our analyses elucidate the impact of cell type composition, differentiation state, and replicative potential on epigenetic age, which has implications for the interpretation of existing clocks and should inform the development of more sensitive clocks.

A transcriptomic biomarker predictive of cell proliferation for use in adverse outcome pathway-informed testing and assessment.

High-throughput transcriptomics (HTTr) is increasingly being used to identify molecular targets of chemicals that can be linked to adverse outcomes. Cell proliferation (CP) is an important key event in chemical carcinogenesis. Here, we describe the construction and characterization of a gene expression biomarker that is predictive of the CP status in human and rodent tissues. The biomarker was constructed from 30 genes known to be increased in expression in prostate cancers relative to surrounding tissues and in cycling human MCF-7 cells after estrogen receptor (ER) agonist exposure. Using a large compendium of gene expression profiles to test utility, the biomarker could identify increases in CP in (i) 308 out of 367 tumor vs. normal surrounding tissue comparisons from 6 human organs, (ii) MCF-7 cells after activation of ER, (iii) after partial hepatectomy in mice and rats, and (iv) the livers of mice and rats after exposure to nongenotoxic hepatocarcinogens. The biomarker identified suppression of CP (i) under conditions of p53 activation by DNA damaging agents in human cells, (ii) in human A549 lung cells exposed to therapeutic anticancer kinase inhibitors (dasatinib, nilotnib), and (iii) in the mouse liver when comparing high levels of CP at birth to the low background levels in the adult. The responses using the biomarker were similar to those observed using conventional markers of CP including PCNA, Ki67, and BrdU labeling. The CP biomarker will be a useful tool for interpretation of HTTr data streams to identify CP status after exposure to chemicals in human cells or in rodent tissues.

Inflammation drives tumor growth in an immunocompetent implantable metastasis model.

Nearly 90% of cancer deaths are due to metastasis. Conventional cancer therapeutics including chemotherapy, surgery, and radiotherapy, are effective in treating primary tumors, but may aggravate disseminated tumor cells (DTCs) into regaining a proliferative state. Models isolating the post dissemination environment are needed to address the potential risks of these therapies, however modeling post dissemination environments is challenging. Often, host organisms become moribund due to primary tumor mass before native metastatic niches can evolve. Implantable tissue engineered niches have been used to attract circulating tumor cells independent of the primary tumor. Here, we serially transplant such tissue engineered niches with recruited DTCs in order to isolate the post dissemination environment. After transplantaion, 69% of scaffolds developed overt post-dissemination cancer growth, however 100% of scaffolds did not grow to a life-threatening critical size within twelve weeks. Adjuvant chemotherapy, while initially effective, did not prevent long-term DTC growth in scaffolds. Subjecting these transplanted niches to surgical resection via biopsy punch enhanced CD31, MMP9, Ly6G, and tumor burden compared to control scaffolds. Biopsy punching was able to rescue tumor incidence from prior chemotherapy. This model of serial transplantation of engineered DTC niches is a highly controllable and flexible method of establishing and systematically investigating the post-dissemination niche.

Hypoxic microenvironment promotes diabetic wound healing by polarizing macrophages to the M2 phenotype in vivo.

In diabetic wounds, M2 polarization of macrophages regulates the transition from an inflammatory phase to a proliferative phase. Prior investigations have demonstrated the potential of deferoxamine (DFO) in creating a localized hypoxic microenvironment, which could stimulate angiogenesis by promoting vascular endothelial growth factor (VEGF) secretion in diabetic wound healing. Nevertheless, there is still no clear information on whether this chemically induced hypoxic microenvironment modulates macrophage polarization to promote diabetic wound healing. The 18 diabetic mice were randomly divided into three groups: a control group (n = 6), a 100µM DFO group (n = 6), and a 200µM DFO group (n = 6). Subsequently, a full-thickness wound with a diameter of 1.00cm was created on the dorsal region of the diabetic mice. Observe wound closure regularly during treatment. At the end of the observation, tissue specimens were collected for a series of experiments and analyses, including hematoxylin and eosin (H&E), Masson, immunofluorescent, and immunohistochemical staining. The role and mechanism of DFO in regulating macrophage polarization were studied using RAW264.7 cells. In comparison to the control group, the administration of DFO notably facilitates wound healing in diabetic mice. In diabetic wounds, DFO increases blood supply by upregulating VEGF, which promotes angiogenesis. Additionally, The expression of HSP70 and CD206 were also upregulated by DFO in both vivo and in vitro, while iNOS expression was downregulated. Additionally, knk437 inhibited the expression of HSP70 in RAW264.7 cells, resulting in a reduction of M2 polarization and an increase in M1 polarization. The induction of a hypoxic microenvironment by DFO has been found to exert a substantial influence on the process of diabetic wound healing. DFO treatment enhances the capacity of diabetic wounds to stimulate angiogenesis and modulate macrophage polarization that may be associated with HSP70 expression, thereby expediting the transition of these wounds from an inflammatory to a proliferative state.

Evolution of phenotypic plasticity leads to tumor heterogeneity with implications for therapy.

Cancer is a significant global health issue, with treatment challenges arising from intratumor heterogeneity. This heterogeneity stems mainly from somatic evolution, causing genetic diversity within the tumor, and phenotypic plasticity of tumor cells leading to reversible phenotypic changes. However, the interplay of both factors has not been rigorously investigated. Here, we examine the complex relationship between somatic evolution and phenotypic plasticity, explicitly focusing on the interplay between cell migration and proliferation. This type of phenotypic plasticity is essential in glioblastoma, the most aggressive form of brain tumor. We propose that somatic evolution alters the regulation of phenotypic plasticity in tumor cells, specifically the reaction to changes in the microenvironment. We study this hypothesis using a novel, spatially explicit model that tracks individual cells' phenotypic and genetic states. We assume cells change between migratory and proliferative states controlled by inherited and mutation-driven genotypes and the cells' microenvironment. We observe that cells at the tumor edge evolve to favor migration over proliferation and vice versa in the tumor bulk. Notably, different genetic configurations can result in this pattern of phenotypic heterogeneity. We analytically predict the outcome of the evolutionary process, showing that it depends on the tumor microenvironment. Synthetic tumors display varying levels of genetic and phenotypic heterogeneity, which we show are predictors of tumor recurrence time after treatment. Interestingly, higher phenotypic heterogeneity predicts poor treatment outcomes, unlike genetic heterogeneity. Our research offers a novel explanation for heterogeneous patterns of tumor recurrence in glioblastoma patients.

Autophagic genes and antioxidant status during doxorubicin therapy under temperature-stressed conditions in breast cancer cells

ObjectivesAutophagy as a cellular event swings between apoptosis induction and cellular maintenance during chemotherapy. The interplay between autophagy and reactive oxygen species (ROS) remains obscure in cancer progression and treatment. This study aimed to determine the combination effect of chemotherapy and hyperthermia on cancer cell proliferation, autophagy signaling, and oxidative stress status. MethodsTo estimate the autophagic genes' role and antioxidant capacity involvement during chemotherapy, human breast cancer cell lines (MCF7 and CAL51) were exposed to a high temperature at 42 °C and treated with doxorubicin (DOX). The MTT assays were performed to determine the cell survival levels, and the autophagic gene expression levels (ATG5, LC3A, LC3B, and Beclin1) were analyzed. The intracellular TAS (total antioxidant status) and SOD (superoxide dismutase) activities were determined. ResultsThe combined effects of high temperature with chemotherapy significantly reduced cell viability and cell survival compared to cells treated with the chemotherapeutic agent DOX alone. The cell's autophagic gene activities were significantly increased after exposure to 42 °C temperature and DOX-based chemotherapy compared to the cells treated with DOX alone. It was observed that TAS and SOD activities were increased in the cell lines exposed to high temperatures with DOX compared to the cells treated with DOX alone. Increased autophagic gene expression levels and cell death were observed in response to the high temperature and DOX treatment in breast cancer cells. ConclusionThe study may provide a plausible route and treatment plan for the individual adoption of cancer chemotherapy and be developed as part of the personalized medicine protocol.